BioSS:Methodologies-Statistical Genomics & Bioinformatics

COVID-19: BioSS Statement

To better support our staff in complying with the UK and Scottish Governments' social distancing policies during the current COVID-19 pandemic, BioSS has switched to a home-based, remote working model for our activities.

We have made strenuous efforts to ensure that our staff will be efficient and effective while working from home, and our intention is to continue to operate as best we can during the outbreak. Research and consultancy work is ongoing, and training courses are now taking place online.

All BioSS staff are contactable by electronic means, and we are happy to arrange virtual meetings with new and existing collaborators.

BioSS is a founder member of the Scottish COVID-19 Response Consortium which is developing open source epidemiological models of COVID-19 spread designed to inform policy. BioSS staff are contributing through the management team and via development of detailed large scale simulation modelling, statistical inference of model parameters from data and information processing pipelines.

Statistical Genomics and Bioinformatics

Development of more advanced statistical and computational methodologies is required to keep pace with new experimental technologies in molecular biology and genetics. Challenges to be met include dealing with increased volumes of data, improving the robustness of inference to noise in the data, and enhancing the models to make them biologically more realistic.

In the menu on the right we present some examples of how we have addressed these issues in BioSS. Further details can be obtained from the contact named at the end of each example.

COVID-19: BioSS Statement

Statistical Genomics and Bioinformatics

Research Theme Leader

Lead contributors to the statistical genomics & bioinformatics research area.

Research

Statistical Genomics and Bioinformatics

Process and Systems Modelling

Statistical Methodology

PhD Opportunities

Meetings & Seminars